| 李厚杰,邱天爽,宋海玉,贺建军.基于分水岭变换的互相遮挡交通标志自适应分离[J].,2014,54(1):100-105 |
| 基于分水岭变换的互相遮挡交通标志自适应分离 |
| Adaptive separation of mutually occluding traffic signs based on watershed transformation |
| |
| DOI：10.7511/dllgxb201401016 |
| 中文关键词: 分水岭变换 交通标志 互相遮挡 区域特征 自适应分离 |
| 英文关键词: watershed transformation traffic signs mutually occlusion region feature adaptive separation |
| 基金项目:国家自然科学基金资助项目(81241059,61172108,61139001)；“十一五”国家科技支撑计划资助项目(2012BAJ18B06)；国家民委科研资助项目(12DLZ011)；中央高校基本科研业务费专项资金资助项目(DC110313,DC120101073). |
|
| 摘要点击次数: 1901 |
| 全文下载次数: 1832 |
| 中文摘要: |
| 针对交通标志检测中标志互相遮挡导致检测性能下降的问题,提出一种基于分水岭变换的互相遮挡标志自适应分离算法．基于RGB归一化阈值分割算法对标志图像进行二值化处理,然后构造区域轮廓特征矢量对二值图像中各个兴趣区域进行匹配,确定并提取互相遮挡标志候选区域Blob．对提取的低维数Blob进行形态学膨胀处理,使不连续的边缘趋于连续,然后利用欧氏距离变换和分水岭变换寻求标志间分水岭脊线,利用脊线实现标志的自适应分离．实验结果表明算法取得较好的分离效果,在整个标志检测应用中,与现有算法相比,检测率提高了6.1%,处理速度提升了近3倍． |
| 英文摘要: |
| In view of the performance degradation of traffic sign detection due to mutually occluding signs, an adaptive separation algorithm is proposed based on watershed transformation. Traffic image is segmented based on RGB-normalized thresholding algorithm and binary image is generated. Then, a regional contour feature vector is constructed and used to match every interested region in binary image. Thus, a Blob containing candidate mutually occluding traffic signs is determined and extracted from binary image. In order to make the discontinuous edges of traffic sign possess continuity, the Blob with lesser dimensions is processed using morphological dilation operator. For the obtained Blobs, watershed ridge line between the traffic signs is achieved by adopting Euclidean distance transform and watershed transformation, which is used to separate the traffic signs. The experimental results show that the proposed method provides superior results to the existing algorithm, improving 6.1% in detection rate and about 3 times in processing speed. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|